LinkedIn Posts Scraper: Activity & Keyword Search (No Cookie) avatar

LinkedIn Posts Scraper: Activity & Keyword Search (No Cookie)

Pricing

from $1.50 / 1,000 linkedin post results

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LinkedIn Posts Scraper: Activity & Keyword Search (No Cookie)

LinkedIn Posts Scraper: Activity & Keyword Search (No Cookie)

LinkedIn Posts Scraper without cookies ($1.50/1K): scrape public LinkedIn posts from personal profiles, company pages, or keyword search with post text, likes, comments, reposts & author info.

Pricing

from $1.50 / 1,000 linkedin post results

Rating

0.0

(0)

Developer

Kaito T

Kaito T

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

2

Monthly active users

7 hours ago

Last modified

Features

Limited permissions

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Extract public LinkedIn posts and engagement metrics from personal profiles, company pages, or keyword searches without cookies.

💰 Transparent Pay-Per-Result Pricing (Zero Proxy or Add-On Fees)

You only pay per delivered LinkedIn Post Result — empty searches, deduplicated items, and failed lookups cost $0.00:

Apify Plan TierPrice per 1,000 ResultsProxy / Compute Add-Ons
Free / Starter$2.00 / 1K$0 (Included)
Bronze$1.80 / 1K$0 (Included)
Silver$1.60 / 1K$0 (Included)
Gold / Platinum / Diamond$1.50 / 1K$0 (Included)

📥 Input Parameters

ParameterTypeDefaultDescription
profilesarray["ankurjain13"]Extract recent posts from these LinkedIn personal profiles.
companiesarray["microsoft"]Extract recent posts from these LinkedIn company pages.
keywordsarray[]Search LinkedIn posts globally by keyword or topic.
maxPostsPerTargetinteger10Maximum posts to extract per profile, company, or keyword.

Quick-Start JSON Input Example

{
"profiles": [
"ankurjain13"
],
"companies": [
"microsoft"
],
"maxPostsPerTarget": 10
}

⚡ API, SDK & No-Code Workflow Integrations

  • Direct REST API & SDKs: Run via apify-client in Python or Node.js / TypeScript and export clean JSON, CSV, Excel, or Parquet datasets.
  • No-Code Automation Ready: Plug directly into n8n, Make.com, Clay, Zapier, Google Sheets, or LangChain / LlamaIndex RAG pipelines with zero residential proxy configuration and only 256 MB RAM compute overhead.

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